<think>
The user wants me to:
1. Generate a comprehensive markdown news digest about "Multi-agent Systems" for the week from 2025-11-17 to 2025-11-25
2. Focus on AI agents or agentic AI news
3. Worldwide readers, mention country names if specific
4. 5th grade reading level
5. Split into multiple paragraphs for easy reading
6. Output as JSON with specific structure
7. Short summary: 300-500 words, broken into paragraphs with inline citations
8. Long summary: 800-1200 words, broken into paragraphs with citations
9. Use **bold** for key phrases
10. Escape newlines correctly for JSON

The current date is November 24, 2025, so I need to look at news from November 17-25.

Looking at the search results, I can see several relevant stories:

1. Anthropic/Claude - Extended thinking and tool use (from source [2])
2. Cognizant deploying Claude to 350,000 employees (from source [2])
3. Google DeepMind Gemini 2.5 for agentic workloads (from source [2])
4. Microsoft Ignite 2025 - agentic AI announcements (from sources [4], [7], [8])
5. Kyndryl launches Agentic AI Digital Trust (from source [6])
6. Multi-agent AI context importance (from source [5])
7. Healthcare agent orchestrator (from source [8])
8. Salesforce Agentforce 360 (from source [10])
9. Microsoft partnerships with NVIDIA and Anthropic (from source [3])
10. Superteams.ai launches NextNeural (from source [3])

Let me structure this as a news digest with proper citations and easy-to-read format.

For the JSON output, I need to:
- Use actual newlines but escape them properly for JSON


- Include inline citations like [1], [2], etc.
- Use **bold** for emphasis
- Keep it at 5th grade reading level
- Break into multiple paragraphs

I'll organize the articles by topic:
1. Major tech company announcements
2. Enterprise deployments
3. Security and governance
4. Industry-specific applications
5. New platforms and tools

I'll create two summaries - short and long - with citations. I'll focus on making the content accessible and engaging for a wide audience, highlighting the most important developments in multi-agent AI systems this week.

The key will be to present complex technological advances in simple, clear language that helps readers understand the exciting progress happening in AI agents. I'll emphasize how these technologies are changing different industries and making work easier for people.
</think>

```json
{
  "shortSummary": "This week brought major announcements about **multi-agent AI systems**, showing how companies are moving beyond single chatbots to teams of specialized AI workers. **Microsoft** held its Ignite 2025 conference and introduced new tools like Work IQ and Foundry IQ, which help AI agents understand company data better and work together[4][7]. The company also released Teams Mode for Copilot, letting AI teammates join group chats[7]. **Microsoft** partnered with **NVIDIA** and **Anthropic** to build Claude models in the cloud, with both companies investing billions of dollars[3]. **Anthropic** updated Claude 4 with better thinking and tool-use abilities for complex tasks[2]. **Cognizant** announced it would give Claude tools to 350,000 workers worldwide for different jobs[2]. **Google** pushed Gemini 2.5 for AI agents that can handle website tasks and automation[2]. **Kyndryl** launched new security services called Agentic AI Digital Trust to help businesses safely manage their AI agents[6]. **Salesforce** introduced Agentforce 360, a platform combining human-AI teamwork with better reasoning power[10]. **Superteams.ai** unveiled NextNeural, an API-based platform with over 100 ready-to-use AI agents[3]. However, experts warned that having more agents isn't enough—companies need to give these agents real understanding of their business to succeed[5].",
  "longSummary": "The week of November 17-25, 2025 marked a significant turning point in **AI agent technology**, with major announcements signaling that the future of AI is moving away from single chatbots toward coordinated **teams of specialized agents**[1][4].\n\n**Microsoft's Big Push for Enterprise AI Agents**\n\n**Microsoft** held its Ignite 2025 conference and unveiled several important tools for AI agents. The company introduced **Work IQ**, which acts as an intelligence layer for Microsoft 365 Copilot and helps AI agents understand what employees should do next based on company information[4]. They also announced **Foundry IQ**, which works as a smart connection point for all company knowledge—both written documents and unstructured information—that agents need to work with[4]. This is important because AI agents need to understand real company information to make good decisions. **Microsoft** also revealed **Teams Mode** for Microsoft 365 Copilot, which turns one-on-one chats with AI into group conversations in Microsoft Teams, letting AI teammates join project discussions[7]. Additionally, **Microsoft** announced the **Agent Factory**, a program helping organizations build AI agents with confidence using a simple monthly plan, with support from AI experts[4].\n\n**Tech Giants Invest Heavily in AI Agent Technology**\n\nThree major technology companies announced a significant partnership this week[3]. **Microsoft**, **NVIDIA**, and **Anthropic** said they would work together to make Claude AI models work better in the cloud. **NVIDIA** and **Microsoft** are investing a combined $15 billion into **Anthropic** to support this partnership[3]. This shows how serious big technology companies are about building better AI agent systems.\n\n**Enterprise Deployments Show Real-World Impact**\n\n**Cognizant**, a large technology services company, announced it is giving Claude AI tools to up to 350,000 employees across the globe[2]. These employees work in many different jobs—from regular company work to engineering positions. **Cognizant** plans to use AI agents for tasks like updating old computer systems and automating decisions in regulated industries[2]. This is one of the biggest corporate deployments of AI agents announced so far.\n\n**Advancements in AI Model Capabilities**\n\n**Anthropic** improved its Claude AI models to work better for AI agents[2]. Claude 4 and Claude Sonnet 4 now have **extended thinking** abilities, which means they can think more deeply about hard problems before taking action[2]. These models can now also think while using tools and computer programs, which is important for AI agents that need to decide which tools to use[2]. The improvements showed a 54% boost in how well AI handled complex computer code[2].\n\n**Google** also announced advances in AI agent technology. **Google DeepMind** unveiled **Gemini 2.5 Computer Use**, a specialized AI model built for task automation and website interactions[2]. The model is working with research organizations like Yale University on cancer therapy and fusion energy research[2].\n\n**New Platforms Help Companies Build AI Agents**\n\n**Salesforce** introduced **Agentforce 360**, a new platform combining humans and AI agents together[10]. The platform has a **Hybrid Reasoning Engine** that makes agent behavior predictable while keeping them creative[10]. It includes **Agentforce Builder** for easily creating and testing agents, voice abilities for handing calls between AI and humans, and **Agent Observability** to continuously improve agents[10]. **Superteams.ai** launched **NextNeural**, an API-based platform with over 100 ready-to-use AI agents for different business tasks[3].\n\n**Security and Governance Become Critical**\n\n**Kyndryl**, a major technology services company, announced **Agentic AI Digital Trust** services to help businesses safely manage AI agents across cloud systems[6]. The service acts like a control center for AI agents and helps companies follow government rules and protect data[6]. The service includes checking and certifying AI agents, watching policies, checking records, and detecting risky behavior[6]. **Kyndryl** is working with **Microsoft** to build trust and following rules for AI agents by using **Microsoft Fabric** tools[6]. **Microsoft** also discussed security concerns with AI agents at Ignite 2025, noting that companies need new tools to protect against threats to AI agents[4].\n\n**Real-World Healthcare Applications**\n\n**Microsoft** showed how AI agents are being used in hospitals. A **healthcare agent orchestrator** tool helps create teams of AI agents working together on complex medical tasks[8]. An example is the **Atropos Evidence Agent**, which studies real patient information and medical research to give doctors personalized evidence and answers within minutes[8]. This helps doctors stay in their normal workflow without interruption.\n\n**The Importance of Business Understanding**\n\nExperts warned this week that simply having more AI agents isn't enough for success[5]. Companies need to give these agents real understanding of their business operations and rules[5]. The research showed that many companies fail to grow their AI agent projects because they focus too much on saving money instead of transforming how work is done[2]. The winners are companies that redesign their workflows around what AI agents can actually do[5]."
}
```

How multi‑agent AI teams will replace single copilots

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The week of November 17-25, 2025 marked a significant turning point in **AI agent technology**, with major announcements signaling that the future of AI is moving away from single chatbots toward coordinated **teams of specialized agents**[1][4].

**Microsoft's Big Push for Enterprise AI Agents**

**Microsoft** held its Ignite 2025 conference and unveiled several important tools for AI agents. The company introduced **Work IQ**, which acts as an intelligence layer for Microsoft 365 Copilot and helps AI agents understand what employees should do next based on company information[4]. They also announced **Foundry IQ**, which works as a smart connection point for all company knowledge—both written documents and unstructured information—that agents need to work with[4]. This is important because AI agents need to understand real company information to make good decisions. **Microsoft** also revealed **Teams Mode** for Microsoft 365 Copilot, which turns one-on-one chats with AI into group conversations in Microsoft Teams, letting AI teammates join project discussions[7]. Additionally, **Microsoft** announced the **Agent Factory**, a program helping organizations build AI agents with confidence using a simple monthly plan, with support from AI experts[4].

**Tech Giants Invest Heavily in AI Agent Technology**

Three major technology companies announced a significant partnership this week[3]. **Microsoft**, **NVIDIA**, and **Anthropic** said they would work together to make Claude AI models work better in the cloud. **NVIDIA** and **Microsoft** are investing a combined $15 billion into **Anthropic** to support this partnership[3]. This shows how serious big technology companies are about building better AI agent systems.

**Enterprise Deployments Show Real-World Impact**

**Cognizant**, a large technology services company, announced it is giving Claude AI tools to up to 350,000 employees across the globe[2]. These employees work in many different jobs—from regular company work to engineering positions. **Cognizant** plans to use AI agents for tasks like updating old computer systems and automating decisions in regulated industries[2]. This is one of the biggest corporate deployments of AI agents announced so far.

**Advancements in AI Model Capabilities**

**Anthropic** improved its Claude AI models to work better for AI agents[2]. Claude 4 and Claude Sonnet 4 now have **extended thinking** abilities, which means they can think more deeply about hard problems before taking action[2]. These models can now also think while using tools and computer programs, which is important for AI agents that need to decide which tools to use[2]. The improvements showed a 54% boost in how well AI handled complex computer code[2].

**Google** also announced advances in AI agent technology. **Google DeepMind** unveiled **Gemini 2.5 Computer Use**, a specialized AI model built for task automation and website interactions[2]. The model is working with research organizations like Yale University on cancer therapy and fusion energy research[2].

**New Platforms Help Companies Build AI Agents**

**Salesforce** introduced **Agentforce 360**, a new platform combining humans and AI agents together[10]. The platform has a **Hybrid Reasoning Engine** that makes agent behavior predictable while keeping them creative[10]. It includes **Agentforce Builder** for easily creating and testing agents, voice abilities for handing calls between AI and humans, and **Agent Observability** to continuously improve agents[10]. **Superteams.ai** launched **NextNeural**, an API-based platform with over 100 ready-to-use AI agents for different business tasks[3].

**Security and Governance Become Critical**

**Kyndryl**, a major technology services company, announced **Agentic AI Digital Trust** services to help businesses safely manage AI agents across cloud systems[6]. The service acts like a control center for AI agents and helps companies follow government rules and protect data[6]. The service includes checking and certifying AI agents, watching policies, checking records, and detecting risky behavior[6]. **Kyndryl** is working with **Microsoft** to build trust and following rules for AI agents by using **Microsoft Fabric** tools[6]. **Microsoft** also discussed security concerns with AI agents at Ignite 2025, noting that companies need new tools to protect against threats to AI agents[4].

**Real-World Healthcare Applications**

**Microsoft** showed how AI agents are being used in hospitals. A **healthcare agent orchestrator** tool helps create teams of AI agents working together on complex medical tasks[8]. An example is the **Atropos Evidence Agent**, which studies real patient information and medical research to give doctors personalized evidence and answers within minutes[8]. This helps doctors stay in their normal workflow without interruption.

**The Importance of Business Understanding**

Experts warned this week that simply having more AI agents isn't enough for success[5]. Companies need to give these agents real understanding of their business operations and rules[5]. The research showed that many companies fail to grow their AI agent projects because they focus too much on saving money instead of transforming how work is done[2]. The winners are companies that redesign their workflows around what AI agents can actually do[5].

This week brought major announcements about **multi-agent AI systems**, showing how companies are moving beyond single chatbots to teams of specialized AI workers. **Microsoft** held its Ignite 2025 conference and introduced new tools like Work IQ and Foundry IQ, which help AI agents understand company data better and work together[4][7]. The company also released Teams Mode for Copilot, letting AI teammates join group chats[7]. **Microsoft** partnered with **NVIDIA** and **Anthropic** to build Claude models in the cloud, with both companies investing billions of dollars[3]. **Anthropic** updated Claude 4 with better thinking and tool-use abilities for complex tasks[2]. **Cognizant** announced it would give Claude tools to 350,000 workers worldwide for different jobs[2]. **Google** pushed Gemini 2.5 for AI agents that can handle website tasks and automation[2]. **Kyndryl** launched new security services called Agentic AI Digital Trust to help businesses safely manage their AI agents[6]. **Salesforce** introduced Agentforce 360, a platform combining human-AI teamwork with better reasoning power[10]. **Superteams.ai** unveiled NextNeural, an API-based platform with over 100 ready-to-use AI agents[3]. However, experts warned that having more agents isn't enough—companies need to give these agents real understanding of their business to succeed[5].

Multi-agent Systems Weekly AI News

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